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Fusing speculated risk into reinforcement learning-based autonomous driving decision-making for mixed traffic

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Future risk evolution is critical for the decision-making of autonomous vehicles (AVs), since it enables AVs to be aware of risks in advance and take action to ensure safety. This study proposes a reinforcement learning-based decision-making method by ...